Hotel Demand Optimizer

6 days ago


bharatpur, India beBeeData Full time

Machine Learning ModelerThe primary function of this role is to design and implement machine learning models for optimizing hotel demand, pricing, and availability.To achieve this goal, you will develop and maintain data pipelines and feature stores that support large-scale model training and inference. Bayesian inference, causal modeling, and reinforcement learning are key techniques used in this position to drive adaptive decision-making platforms.Some of the key tasks involved in this role include:Designing and implementing machine learning models for dynamic pricing, availability prediction, and real-time hotel demand optimization.Developing and maintaining data pipelines and feature stores to support large-scale model training and inference.Using LLMs (Claude, GPT-4, SLMs) for contract parsing, metadata extraction, and mapping resolution, semantic search, and retrieval-augmented generation (RAG), conversational systems for CRS, rate insights, and partner communication.Additionally, you will be responsible for operationalizing ML+LLM pipelines on Databricks/AWS for training, inference, and monitoring, as well as deploying and monitoring models in production with strong observability, tracing, and SLO ownership.Collaboration with cross-functional teams, including engineering, data platform, and product teams, is essential to translate research into scalable production systems and run A/B experiments and causal validation to measure real business impact.



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